In the year 2155
Before reaching an Earth-like planet, you need to build a ship capable of flying at speeds above the speed of light. For example, the distance to the closest Earth-like planet in 2023 is more than 300 light-years.

According to some scientists, they only plan to pinpoint an Earth-like planet by 2055.
When will humanity find a second Earth?
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The state has no scientific tasks.
When a country is engaged in the sale of hydrocarbons, why do we need extra mouths in the form of scientists, if the money is already flowing.

Science is expensive, but near-science brings noticeably more money.
Why does no one need scientists in Russia?
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The introduction of a price ceiling on Russian oil would have a negative impact on the global economy and energy security. This was also confirmed by the International Energy Agency.
China and India have made it clear that they will not comply with the Western embargo. China and India will not be affected in any way. The U.S. is not dependent on Russian oil supplies either. Russia itself is already selling below the delivered price. All these restrictions will only damage the EU and increase dependence on energy resources.

The problem is that there is no free oil on the market and if we introduce restrictions, prices will go up.
The embargo and the ceiling on Russian oil prices came into force: what consequences to expect
The EU introduced a ceiling on Russian oil prices: what will happen to shares and the ruble
The ceiling of the Russian oil price.. What is its mechanism of action and impact How will Moscow respond
Accuracy 30
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No, there are limits to learning. The fast results create a sense of limitlessness.
Modern artificial intelligence models require a huge amount of electricity for training and work. There are physical limitations to computing power — transistors are no longer decreasing so fast. Only a few companies in the world produce advanced chips for artificial intelligence. This means that the zoom cannot be infinite. There are also limitations in terms of global data and knowledge — the amount of data available is limited. The AI industry is also facing a shortage of skilled workers.

Marketing and media often exaggerate the possibilities, ignoring the limitations. AI's capabilities are limited by physics, not just imagination. Equipment, energy, and data are limited. There will be no unlimited AI without new breakthroughs in physics and cognitive sciences.
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